Search Results for "hash-linux" - Page 33
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Showing 1296 open source projects for "hash-linux"
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The project will be looking at data (the intention is to begin looking at customer name/address data but this may widen over time) and ways to intelligently detect duplicates using fuzzy matching methods and algorithms.
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Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
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A library with implementation of algorithms for solving Lot Sizing problems. The main focus of the library is on ease of use, while also attempting to keep it as efficient as possible.
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A Java package for pretty-printing a text by deciding where to introduce line-breaks and indentation. A Java implementation of Derek Oppen\'s pretty printing algorithm. It is _not_ a pretty printer for Java code, though it could be used to write one.
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The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
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The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
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This is an implementation of Donald Knuth's Algorithm X ("dancing links"). This is primarily a sudoku generator and solver, though it can be used to solve other exact cover problems.
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The gsuffix library implements serveral algorithms used for enumerative string searches. It incorporates the suffix tree and suffix array data structures as well as some other methods.
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This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
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ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
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"Blue Planet" is a research project simulating the behaviour and darwinian evolution of unicellular lifeforms, each controlled by its own genetic program. Moreover, "Blue Planet Inhabitants" are suited for swarm intelligence and swarm research.
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Are Plain Old Java Objects (POJOs) to complex? The aim of this framework is, to convert JavaBeans (complex Java-Object graphs) in a simplified representation (JSON, XML, CSV or other object structures) or handle and control access to JavaBean properties.
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The Lingual Quanta is an organization created by software engineers that are interested in Natural Language Processing technologies focused in libraries useful for projects such as grammar checkers, text markups etc.
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A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a genetic algorithm immediately setup for solving it.
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WhiteHawk Project: A GNU/Linux Desktop environment for newbies trying to improve the new user experience by giving easy to use applications and games
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Java 3D VR with basic headtracking. Basics of blob tracking, image processing. Make sure you have a webcam and an infrared led
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HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
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Random Thoughts On Distributed Algorithms: a collection of tools and ideas for the development of distributed applications. The first released part is an RxRPC security model based on OpenSSL and elliptic curve criptography. Please check docs for info...
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Framework: Project for Evolutionary Predator Prey Algorithms, used to implement an evolutionary scheme based on the developement by van Laumanns. Implement testproblems, special behaviours, environments, and other yet not known features.
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The goal: to provide implementations of as many algorithms (sorting, searching, ...) and data structures (lists, trees, ...) as possible, accompanied by discussion of big O run time and memory limits and references to sources of further study.
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